Category Robots Podcast

Most artificial intelligence (AI) researchers now believe that writing computer code which can capture the nuances of situated interactions is impossible. Alternatively, modern machine learning (ML) researchers have focused on learning about these types of interactions from data. To explore these learning-based approaches and quickly build agents that can make sense of human instructions and safely perform actions in open-ended conditions, we created a research framework within a video game environment.Today, we’re publishing a paper [INSERT LINK] and collection of videos, showing our early steps in building video game AIs that can understand fuzzy human concepts – and therefore, can begin to interact with people on their own terms.

Researchers at MIT have made significant steps toward creating robots that could practically and economically assemble nearly anything, including things much larger than themselves, from vehicles to buildings to larger robots.

Amoebae are single-cell organisms. By means of self-organization, they can form complex structures—and do this purely through local interactions: If they have a lot of food, they disperse evenly through a culture medium. But if food becomes scarce, they emit the messenger known as cyclic adenosine monophosphate (cAMP). This chemical signal induces amoebae to gather in one place and form a multicellular aggregation. The result is a fruiting body.

Volunteer customers will be able to order and receive beverages at designated drop-off points in PIT's Airside Terminal. Ottobot from Ottonomy is the first fully autonomous robot for deliveries inside airports and is currently deployed at multiple airports.

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Learning how to build upon knowledge by tapping 30 years of computer vision research

Researchers from Hanyang University and Inha University have introduced collective behavior of multiple swimming robots for delivery of thousands of cargos.

IEC 61131-3 is the de facto standard in the industrial automation industry. It encompasses 5 different programming “languages”. It makes designing simple programs straightforward and easy, and it does this very well.

The fast-changing customer demands in modern society seek flexibility, innovation and a rapid response from manufacturers and organisations that, in order to respond to market needs, are creating tools and processes in order to adopt an approach that welcomes change.

That approach is found to be Agile Manufacturing – and the Trinity project is the magnet that connects every segment of agile with everyone involved, creating a network that supports people, organisations, production and processes.

The main objective of TRINITY is to create a network of multidisciplinary and synergistic local digital innovation hubs (DIHs) composed of research centres, companies, and university groups that cover a wide range of topics that can contribute to agile production: advanced robotics as the driving force and digital tools, data privacy and cyber security technologies to support the introduction of advanced robotic systems in the production processes.

Trinity network

The Trinity project is funded by Horizon 2020 the European Union research and innovation programme.

Currently, Trinity brings together a network of 16 Digital Innovation Hubs (DIHs) and so far has 37 funded projects with 8.1 million euros in funding.

The network starts its operation by developing demonstrators in the areas of robotics it identified as the most promising to advance agile production, e.g. collaborative robotics including sensory systems to ensure safety, effective user interfaces based on augmented reality and speech, reconfigurable robot workcells and peripheral equipment (fixtures, jigs, grippers, …), programming by demonstration, IoT, secure wireless networks, etc.

These demonstrators will serve as a reference implementation for two rounds of open calls for application experiments, where companies with agile production needs and sound business plans will be supported by TRINITY DIHs to advance their manufacturing processes.

Trinity services

Besides technology-centred services, primary laboratories with advanced robot technologies and know-how to develop innovative application experiments, the TRINITY network of DIHS also offers training and consulting services, including support for business planning and access to financing.

All the data (including the current network list with partners, type of organisation and contact information) is available to everybody searching for the right type of help and guidance. The list also contains information regarding the Trinity funded projects and can be found on the website.

Robotics solution catalogue

Discover a wide range of Trinity solutions – from use cases like Predictable bin picking of shafts and axles, Robotic solution for accurate grinding of complex metal parts, End-to-end automatic handling of small packages and many more, to modules such are Additive TiG welding, Depth-sensor Safety Model for HRC, Environment Detection, Mobile Robot Motion Control and other, all that can be found in robotics solution catalogue on Trinity website.

Each of the solutions is followed up by a video that shows what made them successful, so whether it‘s about catalogue, modules, training materials, SME results, webinars or Trinity-related topics, the Trinity YouTube channel is where you will find it all.

Join us

Trinity wants to expand its current community made of more than 90 SMEs and around 20 organisations. If you are a Digital Innovation Hub, an innovative SME, a technical university, or a research centre focused on agile manufacturing, do not hesitate to contact us and exploit all the opportunities that Trinity offers.

You will be on board an ecosystem full of sectoral industry experts, facilities to put in practice your innovative ideas, and several partners with whom to develop new projects. Everything is on a user-centric platform and you will receive continuous support from the community!

Discuss with us

Be a part of the Trinity world by joining in on the discussions on agile production on social media or stay in touch with the latest news by signing in for the newsletter or simply by visiting the Trinity website.

Whatever your preferred type of communication is, all the contact information can be found here – so let‘s stay in touch!